How to Install MCP Servers in OpenAI Codex CLI

How to add MCP servers to the OpenAI Codex CLI — the [mcp_servers] tables in ~/.codex/config.toml, the codex mcp add command, and how to confirm tools loaded.

Step-by-step installation guide

  1. Add the server with the CLI or config file

    Run "codex mcp add <name> -- <command> [args...]", or add an [mcp_servers.<name>] table to ~/.codex/config.toml. Codex uses TOML, not JSON, so each server is its own table.

  2. Set command, args, and env

    Each server table takes a "command" string and an "args" array. Put secrets in a nested [mcp_servers.<name>.env] table rather than in the args.

  3. Verify inside a session

    Start Codex and run the /mcp command to list configured servers and their tools. If a server is missing, check the TOML syntax — a malformed table silently drops the entry.

Configuration

config.toml
LocationUser (global)
~/.codex/config.toml
Snippet
Shell
# ~/.codex/config.toml
[mcp_servers.filesystem]
command = "npx"
args = ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/dir"]

[mcp_servers.filesystem.env]
# API_KEY = "..."
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Frequently Asked Questions

Run codex mcp add <name> -- <command> [args...], or add an [mcp_servers.<name>] table with command and args to ~/.codex/config.toml. Use /mcp inside Codex to confirm it loaded.

The values carry over but the format does not: Codex reads TOML, so convert each mcpServers JSON entry into an [mcp_servers.<name>] table with the same command, args, and env.

Codex supports stdio servers and streamable HTTP servers configured with a url field. Check the Codex docs for the current remote and OAuth options, since support has expanded across releases.

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